Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme.
Why study with us
- Choose an optional module based on your own academic interests. Options are available for signal processing, computer vision, sensors and instruments.
- Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.
- Participate in a School Expo, presenting your project to an external audience including industry representatives.
What you'll do
- Access world-class facilities and expertise in machine learning, internet of things and related applications.
- Located within one of the most intense engineering and manufacturing areas in the UK, our £35m Engineering Innovation Centre provides a space for teaching, research and work on real-world projects with commercial partners.
- You will also have option to contribute to the ongoing biomedical data analytics projects brought about by our collaborative links with the health sector.
Modules
Every effort has been made to ensure the accuracy of our published course information. However, our programmes are subject to ongoing review and development. Changing circumstances may cause alteration to, or the cancellation of, courses. Changes may be necessary to comply with the requirements of accrediting bodies or revisions to subject benchmarks statements. We may also make changes to keep courses updated and contemporary, or as a result of student feedback. We reserve the right to make variations if we consider such action to be necessary or in the best interests of students.
Accreditations
Academic expertise
Future careers
As a graduate, you will be equipped with skills in working on modern machine learning and IoT projects in both an individual and a team capacity. Upon graduation you may apply for a PhD.
Studying Machine Learning and Internet of Things could lead to the following careers:
- Machine learning engineer
- Machine learning scientist
- Data translator
Entry requirements
- Applicants should hold at least 2:2 degree which includes programming modules
- Applicants who do not meet the above requirements can be considered individually subject to an interview
- IELTS: 6.0 with no components lower than 5.5
Fees and funding
Scholarships and bursaries
We have a wide range of bursaries, scholarships and funds available to help support you whilst studying with us.
Select your country to see eligibility information and how to apply by selecting more info on the cards below.
Dependants Bursary
Students with financially dependent children may be eligible for our Dependants Bursary as part of our financial support package.
Find out more about Dependants BursaryCarers Bursary
If you need extra support because you have unpaid caring responsibilities alongside your studies.
Find out more about Carers BursarySports scholarships
We offer student athletes support and opportunities for their playing careers whilst they study a high-quality degree.
Find out more about Sports scholarshipsAlumni Loyalty Discount
UK students with a previous award from us will receive 20% tuition fee discount.
Find out more about Alumni Loyalty Discount
This course is delivered by the School of Engineering and Computing
For information on possible changes to course information, see our essential and important course information
You can find regulations and policies relating to student life at the University of Central Lancashire on our student contract page